Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
HyperWorld: Hypergraph-Structured State Serialization Improves Learned Textual World Models
arXiv:2609.00002v1 Announce Type: new Abstract: World models enable language-model agents to predict environment dynamics and plan before acting. In text…
Calibrating Small Language Models for Claim Check-Worthiness Detection
arXiv:2608.30731v2 Announce Type: replace-cross Abstract: Assessing claim check-worthiness is an essential first step in automated fact-checking pipelines. This work is…
Ctrl-F-Resist. Practices, Challenges, and Technical Needs of Civil Society Organizations Monitoring the Far-Right Online
arXiv:2609.00808v1 Announce Type: cross Abstract: As far-right actors increasingly exploit online platforms to disseminate ideology and mobilize supporters, civil society…
Agentic programs: an emerging form of scientific software in computational materials science
arXiv:2609.00795v1 Announce Type: cross Abstract: Computational materials science has traditionally delegated algorithmic tasks to computers while leaving scientific judgments to…
Cost-efficient Active Learning for Referring Image Segmentation and Grounding
arXiv:2608.30621v2 Announce Type: replace-cross Abstract: Collecting natural-language referring expressions along with region annotations, such as masks or boxes, is a…
DS-Lighting: Making Agent Harnesses Explicit for Data-Science Automation
arXiv:2608.28590v1 Announce Type: new Abstract: Large Language Model (LLM) agents have shown promise for automating data-science workflows, yet their end-to-end…
Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss
arXiv:2608.28308v2 Announce Type: replace-cross Abstract: We study the scaling behavior of learning rate and batch size in pretraining dense large…
RailGen: Improving Railway Intrusion Detection via Agent-Guided Small-Scale Foreign Object Generation
arXiv:2608.30727v1 Announce Type: cross Abstract: Small-object detection under long-tailed data distributions is a fundamental yet challenging problem in multimedia. Railway…
A Survey on Rubric-Guided Reinforcement Learning for Language Models
arXiv:2608.27505v2 Announce Type: replace-cross Abstract: Reinforcement learning from human feedback (RLHF) has become the dominant paradigm for aligning large language…
Multi-modal learning with incomplete data
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